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Bias-variance Decomposition in Machine Learning-based Side-channel Analysis
Side-channel analysis Machine learning Deep learning
2019/5/28
Machine learning techniques represent a powerful option in profiling side-channel analysis. Still, there are many settings where their performance is far from expected. In such occasions, it is very i...
Practically Efficient Secure Distributed Exponentiation without Bit-Decomposition
applied secure multiparty computation distributed exponentiation applied cryptography
2019/4/3
Bit-decomposition is a powerful tool which can be used to design constant round protocols for bit-oriented multiparty computation (MPC) problems, such as comparison and Hamming weight computation. How...
New Protocols for Secure Linear Algebra: Pivoting-Free Elimination and Fast Block-Recursive Matrix Decomposition
secure linear algebra multiparty computation
2018/8/2
Cramer and Damgård were the first to propose a constant-rounds protocol for securely solving a linear system of unknown rank over a finite field in multiparty computation (MPC). For mm linear equ...
Efficient Bit-Decomposition and Modulus-Conversion Protocols with an Honest Majority
secret sharing bit-decomposition modulus conversion
2018/5/2
Secure computation enables parties with inputs to compute a function on the inputs while keeping
them secret. There are security notions that secure computation should satisfy, e.g., privacy, meaning...
AN IMPROVED INTERFEROMETRIC CALIBRATION METHOD BASED ON INDEPENDENT PARAMETER DECOMPOSITION
Geometric calibration Interferometric calibration Three-dimensional reconstruction model Sensitivity analysis Independent parameter decomposition
2018/5/11
Interferometric SAR is sensitive to earth surface undulation. The accuracy of interferometric parameters plays a significant role in precise digital elevation model (DEM). The interferometric calibrat...
A NOVEL TWO-COMPONENT DECOMPOSITION FOR CO-POLAR CHANNELS OF GF-3 QUAD-POL DATA
GF-3 satellite, Model-based decomposition, Two-component decomposition, Co-polar data, PolSAR
2018/5/14
Polarimetric target decomposition theory is the most dynamic and exploratory research area in the field of PolSAR. But most methods of target decomposition are based on fully polarized data (quad pol)...
DECOMPOSITION TECHNIQUES FOR ICESAT/GLAS FULL-WAVEFORM DATA
ICESat/GLAS Full-Waveform Waveform Decomposition Method Overlapped Echo Components Levenberg-Marquard (LM) Optimization Method
2018/5/15
The geoscience laser altimeter system (GLAS) on the board Ice, Cloud, and land Elevation Satellite (ICESat), is the first long-duration space borne full-waveform LiDAR for measuring the topography of ...
Decomposition of Permutations in a Finite Field
Carlitz Theorem decomposition of power functions threshold implementations
2018/1/30
We describe a method to decompose any power permutation, as a sequence of power permutations of lower algebraic degree. As a result we obtain decompositions of the inversion in GF(2n)GF(2n) for small ...
Generalized Polynomial Decomposition for S-boxes with Application to Side-Channel Countermeasures
s-box decomposition side-channel countermeasure masking
2017/6/28
Masking is a widespread countermeasure to protect implementations of block-ciphers against side-channel attacks. Several masking schemes have been proposed in the literature that rely on the efficient...
IMPROVED MODEL-BASED POLARIMETRIC DECOMPOSITION USING THE POlINSAR SIMILARITY PARAMETER
Model based decomposition orientation angle Polarimetric SAR Interferometry polarimetric interferometric similarity parameter Volume model
2016/11/24
In this paper, we present a new approach to solve the problem of volume scattering ambiguity in urban area, for that we propose a volume model based on the polarimetric interferometric similarity para...
POLARIMETRIC SAR DATA GMM CLASSIFICATION BASED ON IMPROVED FREEMAN INCOHERENT DECOMPOSITION
Improved Freeman decomposition Gaussian Mixture Model Polarimetric SAR data Iteration desorientation EM algorithm Unsupervised classification
2016/11/23
Due to the increasing volume of available SAR Data, powerful classification processings are needed to interpret the images. GMM (Gaussian Mixture Model) is widely used to model distributions. In most ...
High Saturation Complete Graph Approach for EC Point Decomposition and ECDL Problem
ECDL problem Semaev polynomials block ciphers
2016/7/20
One of the key questions in contemporary applied cryptography is whether there exist an efficient algorithm for solving the discrete logarithm problem in elliptic curves. The primary approach for this...
Constraints on Localization and Decomposition as Explanatory Strategies in the Biological Sciences
mechanism,localization decomposition systems neuroscience graph theory
2016/5/31
Several articles have recently appeared arguing that there really are no viable alternatives to mechanistic explanation in the biological sciences (Kaplan and Craver 2011; Kaplan and Bechtel 2011). Th...
Decomposition of Vibrational Shifts of Nitriles into Electrostatic and Hydrogen-Bonding Effects
Pseudomonas putida Nitriles Steroid Isomerases Spectrophotometry, Infrared Magnetic Resonance Spectroscopy Catalytic Domain Hydrogen Bonding Vibration Static Electricity
2016/5/25
Infrared (IR) band shifts of isolated vibrational transitions can serve as quantitative and directional probes of local electrostatic fields, due to the vibrational Stark effect. However, departures f...
Illumination Decomposition for Material Recoloring with Consistent Interreflections
Illumination Decomposition Consistent Interreflections
2016/5/24
Changing the color of an object is a basic image editing operation,
but a high quality result must also preserve natural shading. A common
approach is to first compute reflectance and illumination i...